Provide a reusable baseline framework for CL1 neuron-model stimulation and evaluation pipelines.
npx skills add https://github.com/SeanCole02/cl1-base --skill cl1-base
Please help me install this Agent Skill. Skill: cl1-base Source: https://github.com/SeanCole02/cl1-base/tree/main Command: npx skills add https://github.com/SeanCole02/cl1-base --skill cl1-base
CL1-base provides a reusable framework to design, validate, and maintain CL1-style neuron stimulation and evaluation pipelines, enabling consistent baseline models, safe operation boundaries, and clear orchestration of transport, readout, and feedback loops.
Install this skill into your Codex skills directory and start building CL1 baseline neuron-model workflows.
High-intent search queries and answers about installing and using this skill.
This framework provides reusable baseline scaffolding for CL1 neuron-model pipelines, enabling you to configure UDP transport, define channel layouts, and route feedback loops across multiport hardware setups.
For safe CL1 stimulation, the framework enforces hard bounds on amplitude, pulse width, and channel usage, while providing dead-channel handling and hardware-aware training guardrails.
This framework provides built-in safety validation, dead-channel handling, and hardware-aware guardrails to maintain robust CL1 neuron evaluation workflows during experimentation and ablation studies.
Yes, this framework supports ablation-friendly readouts and provides script-enabled tooling alongside references-driven guidance to validate baseline models and structure ablation studies safely.
You need hardware compatible with UDP stimulation and multiport transport, as the framework includes channel-layout helpers and multiport transport utilities specifically designed for CL1 experiments.
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